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Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers


Mar 15, 2022
Guodong Zhang, Aleksandar Botev, James Martens

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* ICLR 2022 

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On the Application of Data-Driven Deep Neural Networks in Linear and Nonlinear Structural Dynamics


Nov 03, 2021
Nan Feng, Guodong Zhang, Kapil Khandelwal

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* 82 pages, 12 Tables, 42 Figures 

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Learning to Give Checkable Answers with Prover-Verifier Games


Aug 27, 2021
Cem Anil, Guodong Zhang, Yuhuai Wu, Roger Grosse

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Differentiable Annealed Importance Sampling and the Perils of Gradient Noise


Jul 21, 2021
Guodong Zhang, Kyle Hsu, Jianing Li, Chelsea Finn, Roger Grosse

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* 22 pages 

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A Central Limit Theorem, Loss Aversion and Multi-Armed Bandits


Jun 10, 2021
Zengjing Chen, Larry G. Epstein, Guodong Zhang

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Don't Fix What ain't Broke: Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization


Feb 18, 2021
Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger Grosse

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A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints


Oct 02, 2020
Guodong Zhang, Xuchan Bao, Laurent Lessard, Roger Grosse

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* 36 pages 

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On the Suboptimality of Negative Momentum for Minimax Optimization


Aug 17, 2020
Guodong Zhang, Yuanhao Wang

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* 23 pages 

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Picking Winning Tickets Before Training by Preserving Gradient Flow


Feb 18, 2020
Chaoqi Wang, Guodong Zhang, Roger Grosse

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* In Proceedings of the 8th International Conference on Learning Representations (ICLR), 2020 
* Accepted at ICLR 2020 

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